Suraj Rajendran

446 total citations
18 papers, 235 citations indexed

About

Suraj Rajendran is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Suraj Rajendran has authored 18 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Suraj Rajendran's work include Machine Learning in Healthcare (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Artificial Intelligence in Healthcare (3 papers). Suraj Rajendran is often cited by papers focused on Machine Learning in Healthcare (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Artificial Intelligence in Healthcare (3 papers). Suraj Rajendran collaborates with scholars based in United States, Israel and Spain. Suraj Rajendran's co-authors include Ümit Topaloĝlu, Fei Wang, Zhenxing Xu, Philip Austin, Iman Hajirasouliha, Marcos Meseguer, Kristie L. Foley, Ralph B. D’Agostino, Jonas Malmsten and Olivier Elemento and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Medical Internet Research.

In The Last Decade

Suraj Rajendran

17 papers receiving 223 citations

Peers

Suraj Rajendran

PHEOH

PPCH

Michaela Th. Mayrhofer Netherlands

Beverley Townsend South Africa

Yaara Goldschmidt Israel

Cláudia Maria Cabral Moro Brazil

Andre Quina United States

Arturo López Pineda United States

Maheswari Mukherjee United States

Keming Lu United States

André Carrington Canada

Peter O’Blenis Canada

Michaela Th. Mayrhofer Netherlands

Suraj Rajendran

83 ×0.8

139 ×2.8

PHEOH

86 ×2.2

9 ×0.3

PPCH

31 ×1.2

Citations per year, relative to Suraj Rajendran Suraj Rajendran (= 1×) peers Michaela Th. Mayrhofer

Countries citing papers authored by Suraj Rajendran

Since Specialization

Citations

This map shows the geographic impact of Suraj Rajendran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suraj Rajendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Rajendran more than expected).

Fields of papers citing papers by Suraj Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suraj Rajendran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suraj Rajendran. The network helps show where Suraj Rajendran may publish in the future.

Co-authorship network of co-authors of Suraj Rajendran

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Rajendran. A scholar is included among the top collaborators of Suraj Rajendran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suraj Rajendran. Suraj Rajendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Rajendran, Suraj, William Phu, Qiansheng Zhan, et al.. (2025). A foundational model for in vitro fertilization trained on 18 million time-lapse images. Nature Communications. 16(1). 6235–6235. 1 indexed citations

Rajendran, Suraj, Zhenxing Xu, Chengxi Zang, et al.. (2025). Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory. Nature Communications. 16(1). 4450–4450. 1 indexed citations

Li, Haoyang, Chengxi Zang, Zhenxing Xu, et al.. (2025). Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digital Medicine. 8(1). 387–387. 1 indexed citations

Rajendran, Suraj, Matthew Brendel, J. Wesley Barnes, et al.. (2024). Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging. Nature Communications. 15(1). 7756–7756. 10 indexed citations

Rajendran, Suraj, Matthew Brendel, J. Wesley Barnes, et al.. (2024). Automatic Ploidy Prediction and Quality Assessment of Human Blastocysts Using Time-Lapse Imaging. Obstetrical & Gynecological Survey. 79(12). 725–726.

Mandracchia, Biagio, et al.. (2024). High-speed optical imaging with sCMOS pixel reassignment. Nature Communications. 15(1). 4598–4598. 2 indexed citations

Rajendran, Suraj, et al.. (2024). Nanorobotics in Medicine: A Systematic Review of Advances, Challenges, and Future Prospects with a Focus on Cell Therapy, Invasive Surgery, and Drug Delivery. SHILAP Revista de lepidopterología. 7(1). 7 indexed citations

Rajendran, Suraj, et al.. (2024). Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns. 5(2). 100913–100913. 12 indexed citations

Rajendran, Suraj, et al.. (2023). Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study. Journal of Medical Internet Research. 25. e45171–e45171. 2 indexed citations

10.

Su, Chang, Yu Hou, Suraj Rajendran, et al.. (2023). Biomedical discovery through the integrative biomedical knowledge hub (iBKH). iScience. 26(4). 106460–106460. 15 indexed citations

11.

Rajendran, Suraj, et al.. (2023). Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care. SHILAP Revista de lepidopterología. 2(3). e0000117–e0000117. 19 indexed citations

12.

Xu, Zhenxing, et al.. (2023). An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns. 5(1). 100898–100898. 10 indexed citations

13.

Rajendran, Suraj, et al.. (2023). Nanorobotics in Medicine: A Systematic Review of Advances, Challenges, and Future Prospects. arXiv (Cornell University). 1 indexed citations

14.

Rajendran, Suraj, et al.. (2022). Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator. Cureus. 14(5). e25448–e25448. 2 indexed citations

15.

Barnes, J. Wesley, Matthew Brendel, Vianne R. Gao, et al.. (2022). A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. The Lancet Digital Health. 5(1). e28–e40. 65 indexed citations

16.

Rajendran, Suraj, et al.. (2021). In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare. Frontiers in Artificial Intelligence. 4. 746497–746497. 26 indexed citations

17.

Rajendran, Suraj, Jihad S. Obeid, Hamidullah Binol, et al.. (2021). Cloud-Based Federated Learning Implementation Across Medical Centers. JCO Clinical Cancer Informatics. 5(5). 1–11. 49 indexed citations

18.

Rajendran, Suraj & Ümit Topaloĝlu. (2020). Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning.. PubMed. 2020. 507–516. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact